Jun Ma , Yiping Wu , Jian Rong , Hongpeng Zhang , Tao Liu , Yiming Jiang , Xiaochao Li
{"title":"The difference in driving styles between EVs and ICEVs: changes brought about by the energy recovery system","authors":"Jun Ma , Yiping Wu , Jian Rong , Hongpeng Zhang , Tao Liu , Yiming Jiang , Xiaochao Li","doi":"10.1016/j.seta.2025.104629","DOIUrl":"10.1016/j.seta.2025.104629","url":null,"abstract":"<div><div>This study analyzes how energy recovery systems (ERS) alter driving style and energy consumption in electric vehicles (EVs) using real-world data from EVs and internal combustion engine vehicles (ICEVs). Results show ERS reduces conservative driving by 61.4 % and increases aggressive driving by 35.5 % compared to ICEVs, as drivers adapt to maximize energy recovery through acceleration-deceleration cycling. Crucially, ERS inverts the energy efficiency hierarchy: normal driving becomes optimal (14.33 kWh/100 km) versus conservative driving in ICEVs. Without ERS, EV energy consumption follows ICEV patterns (16.33 → 19.33 kWh/100 km from conservative → aggressive), but ERS narrows inter-style consumption gaps by 42–68 %. These findings demonstrate that ERS fundamentally reconfigures the behavior-energy relationship, necessitating EV-specific efficiency strategies distinct from ICEV paradigms.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104629"},"PeriodicalIF":7.0,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Probabilistic-statistical analysis of power and energy distortion in an electric network with non-sinusoidal supply voltage","authors":"Huseyngulu Bayram Guliyev, Famil Shamil Ibrahimov","doi":"10.1016/j.seta.2025.104630","DOIUrl":"10.1016/j.seta.2025.104630","url":null,"abstract":"<div><div>The results of experimental studies of power and distortion energy (PDE) generated by enterprises with non-sinusoidal supply voltage of the industrial area are presented. A brief analysis of the reliability of equipment and devices of power supply systems (PSS) exposed to the impact of non-sinusoidal voltage (NSV) is given. The random nature of the NSV indicators causes random changes in the PDE. A probabilistic-statistical analysis of the PDE components that cause a change in the energy of the fundamental harmonic oscillation and distortion of its sinusoidal shape is given. The results of studies of parallel operation of NSV sources, features of changes in amplitudes and angles of harmonic shift, and total PDE are given. The issues of modeling non-sinusoidal modes at an arbitrary point of the PSS are considered, and a new calculation algorithm is recommended.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104630"},"PeriodicalIF":7.0,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yan Yao , Ye He , Nikos D. Hatziargyriou , Hongbin Wu , Pingping Han
{"title":"A multistage expansion planning method for distribution networks incorporating an adaptive short-term correction mechanism","authors":"Yan Yao , Ye He , Nikos D. Hatziargyriou , Hongbin Wu , Pingping Han","doi":"10.1016/j.seta.2025.104628","DOIUrl":"10.1016/j.seta.2025.104628","url":null,"abstract":"<div><div>Multistage expansion planning for distribution networks (DMEP) must jointly address uncertainty and reliability, while coordinating the scheduling, siting, and scaling of diverse distributed energy resources (DER). To overcome the limitations of traditional long-term planning in adapting to dynamic operational demands, this paper proposes a bilevel planning model incorporating an adaptive short-term correction mechanism. In the upper level, probability distributions of source–load growth rates are modeled to determine long-term expansion schemes for substations, feeders, and distributed generations. In the lower level, a short-term correction mechanism is introduced to address source–load fluctuations and support flexible DER operation, enabling stage-by-stage rolling deployment of energy storage (ES). Distinct from fixed phase boundaries, an adaptive phase partitioning strategy is developed to dynamically identify the optimal expansion timing, avoiding premature investment and excessive operational burdens. Furthermore, reliability constraints are incorporated into DMEP, with ES siting optimized through key node assessment and network expansion designed using a graph-theoretic approach, enhancing both nodal supply security and regional power balance. Case studies demonstrate that the proposed method effectively addresses source–load uncertainties and operational risks of vulnerable nodes and branches, reducing the total planning cost by 7.64 %. Validation on a 54-node system further confirms its scalability and practical value.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104628"},"PeriodicalIF":7.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T.M. Abir Ahsan , Md. Shamim Ahamed , Ahmed A. Hassan
{"title":"Hybrid ground source heat pump for sustainable greenhouse climate control in hot and humid region","authors":"T.M. Abir Ahsan , Md. Shamim Ahamed , Ahmed A. Hassan","doi":"10.1016/j.seta.2025.104615","DOIUrl":"10.1016/j.seta.2025.104615","url":null,"abstract":"<div><div>Greenhouses in hot and humid regions present significant challenges in maintaining optimal temperatures and humidity while minimizing energy and water usage. Traditional boiler-based heating is energy-intensive, and evaporative cooling often fails to maintain suitable conditions, especially under high humidity and peak thermal loads. This study evaluates the performance of a novel hybrid geothermal heat pump (HGSHP) system integrated with a cooling tower, specifically optimized for greenhouse operations in hot and humid climates such as Houston, Texas. The system was assessed using a dynamic model developed in TRNSYS Studio. Results showed that the HGSHP configuration reduced cooling energy consumption by up to 10.8% compared to GSHP-only systems and significantly enhanced ground thermal stability, lowering the annual ground temperature rise from 1<!--> <!-->°C to less than 0.1<!--> <!-->°C. The wet cooling tower effectively mitigated thermal imbalance by rejecting up to 37% of the cooling load during peak summer conditions. These findings highlight the potential of HGSHP systems to deliver efficient heating, cooling, and dehumidification with improved energy performance and long-term sustainability for greenhouse applications in hot and humid regions.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104615"},"PeriodicalIF":7.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Junhan Bae , Hasnain Yousuf , Alamgeer , Muhammad Quddamah Khokhar , Polgampola Chamani Madara , Seokjin Jang , Mengmeng Chu , Maha Nur Aida , Jaljalalul Abedin Jony , Euiho Kim , Sangheon Park , Junsin Yi
{"title":"High-efficiency mechanically stacked bifacial III-V/HJT multijunction solar cell enabled by spectral albedo","authors":"Junhan Bae , Hasnain Yousuf , Alamgeer , Muhammad Quddamah Khokhar , Polgampola Chamani Madara , Seokjin Jang , Mengmeng Chu , Maha Nur Aida , Jaljalalul Abedin Jony , Euiho Kim , Sangheon Park , Junsin Yi","doi":"10.1016/j.seta.2025.104616","DOIUrl":"10.1016/j.seta.2025.104616","url":null,"abstract":"<div><div>Two-terminal III–V/Si tandems are often limited by current mismatch and parasitic optical coupling between sub-cells. We propose and experimentally validate a Back-to-Back Series Tandem that preserves a simple series electrical connection while optically decoupling the junctions: a monofacial III–V top cell operates under direct front illumination, and a bifacial HJT Si bottom cell harvests controlled rear-side albedo. By tuning the rear irradiance (∼0.3 Sun), the Si photocurrent is matched to the III–V current, minimizing mismatch losses without interlayer optics or tunnel junctions. Measurements (LIV and EQE) and PVsyst simulations based on extracted device parameters confirm stable, high-efficiency performance. The tandem achieves 35.18 % efficiency with V<sub>oc</sub> = 3.41 V, J<sub>sc</sub> = 12.54 mA cm<sup>−2</sup>, and FF = 82.26 %. At the system level, a 1 MW array yields 1388 MWh year<sup>−1</sup> with PR ≈ 0.971, outperforming standalone III–V and HJT modules modeled under identical assumptions. The architecture is compatible with bifacial deployment and albedo-rich sites, aiding manufacturability and seasonal robustness. Additional gains are expected from enhancing the Si bottom cell via rear-side optical management, passivation and contact optimization, and reduced interfacial resistance. Overall, albedo-assisted, optically separated tandems offer a practical route to scalable, high-efficiency terrestrial photovoltaics.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104616"},"PeriodicalIF":7.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sunirmit Verma , Adityabir Singh , K. Venkadeshwaran , L. Jino , Hrushikesh Sarangi , Saurabh Aggarwal
{"title":"A thermo-hydraulically efficient hybrid solar-geothermal heating solution for sustainable space heating in cold regions","authors":"Sunirmit Verma , Adityabir Singh , K. Venkadeshwaran , L. Jino , Hrushikesh Sarangi , Saurabh Aggarwal","doi":"10.1016/j.seta.2025.104625","DOIUrl":"10.1016/j.seta.2025.104625","url":null,"abstract":"<div><div>This work introduces a hybrid system combining a coaxial borehole-type geothermal heat exchanger (<em>G</em>-<em>HEX</em>) with a rock bed solar-air heater (<em>RBS</em>-<em>AIR</em>), demonstrating the feasibility and enhanced thermo-hydraulic performance of coupling sensible heat storage with geothermal preheating. The study is conducted using average monthly winter climate data from November to March for El Paso, USA, to simulate realistic cold-season performance. A transient numerical model is developed to analyze system performance under varying conditions, complemented by a closed-form steady-state solution for estimating the system’s annual average behavior. Parametric analysis reveals that increasing air mass flow rate boosts net power output by 36.62% in the standalone <em>RBS</em>-<em>AIR</em> and by 45.46% in the hybrid system. The associated temperature penalty is 7.70% without <em>G</em>-<em>HEX</em> and only 1.96% with it, indicating improved thermal stability with integration. The system also benefits from a larger inner and smaller outer radius of the <em>G</em>-<em>HEX</em>, which favorably influence heat transfer. The results show only weak sensitivity to solver parameter variations in the transient model and to soil type in both transient and steady-state simulations. The cost of net power output is calculated as $8.97 per kWh. Overall, the hybrid system offers a reliable and sustainable heating solution by efficiently combining solar and geothermal energy sources for cold climate applications. Future work could explore advanced dynamic control strategies, latent heat storage integration, and multi-source renewable hybridization to further enhance system efficiency and flexibility.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104625"},"PeriodicalIF":7.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Technical change, inter-fuel substitution, and decarbonization strategies in France: Insights from the translog production framework","authors":"Waqar Khalid , Kiran Khalid , Rabia Liaquat , Mumtaz Ali","doi":"10.1016/j.seta.2025.104627","DOIUrl":"10.1016/j.seta.2025.104627","url":null,"abstract":"<div><div>France has made significant progress toward achieving its Sustainable Development Goals (SDGs), but it continues to face challenges in environmental sustainability. Decarbonizing the energy sector by expanding renewable energy sources and reducing reliance on traditional fossil fuels is widely recognized as a cost-effective approach to mitigating climate change. This study estimates technical change, output elasticities, and substitution elasticities for both non-energy factors (labour and capital) and energy-specific inputs (petroleum, natural gas, coal, nuclear energy, and hydroelectricity) in France, using annual time series data covering the period 1980–2021. Employing ridge regression to a translog production model, the findings reveal that renewable energy sources and fossil fuels act as substitutes, with nuclear energy and hydroelectricity exhibit the highest substitution potential. The output elasticity estimates suggest that all non-energy and energy-specific inputs, except coal, positively contribute to production. Furthermore, technical change estimates provide strong evidence of convergence among all pairs of non-energy and energy-specific inputs. Although nuclear energy constitutes a substantial share (65 %) of France’s energy mix, the study recommends increasing the share of renewables from 15 % to 20–30 % as a viable strategy to accelerate decarbonization. Additionally, it highlights the importance of government policies that promote workforce development and facilitate a fair transition from fossil fuels to clean energy. Further decarbonization strategies, including feed-in tariffs, tax incentives, carbon pricing mechanisms, and emissions trading schemes (ETS), should be implemented to promote the adoption of renewable energy while reducing reliance on fossil fuels.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104627"},"PeriodicalIF":7.0,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Review on the progress of colored silicon solar cells for building-integrated photovoltaics (BIPV) application","authors":"Anishkumar Soman , Rushikesh Jadhav , Aldrin Antony","doi":"10.1016/j.seta.2025.104612","DOIUrl":"10.1016/j.seta.2025.104612","url":null,"abstract":"<div><div>Building Integrated Photovoltaics (BIPV) serves as a critical technology to tackle the space constraint issues in urban areas for installing solar panels and increasing land prices which increases the energy production cost − both of which are significant impediments to the net-zero carbon emissions goal. Net-zero Energy Buildings (NZEBs) are a promising prospect to drive the net-zero carbon emissions journey of urban spaces. The traditional solar modules are installed only on rooftops, limiting their energy production due to lesser rooftop area in urban areas, thereby under-utilizing the surface area obtained from the entire building. Incorporating these modules into building architecture can result in higher energy generation, however posing a major aesthetic bottleneck since these panels are only blue or black in color. Colored solar module is a promising method that can address this problem and provide impetus to BIPV. Silicon (Si) solar cell is the dominant solar technology with a proven record of long-term reliability and an established life cycle of over 25 years, making it a good candidate for colored solar cells. Efforts are underway to develop technologies that can enable colored Si cells, thus enhancing their prospect in BIPV technology. This review provides a comprehensive account of the current techniques used to impart color to Si solar cells which involve anti-reflection coatings (ARCs), dielectric mirrors, luminophores, quantum dots (QDs) and Mie-resonant nanostructures. We also discuss commercially available Si BIPV products and their cost analysis to offer insights into the current economics of colored Si modules.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104612"},"PeriodicalIF":7.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fen Ning , Yu Meng , Kangshun Li , Liwei Tian , Rongrong Li
{"title":"Defect data enhancement and anomaly detection methods for smart solar photovoltaic maintenance","authors":"Fen Ning , Yu Meng , Kangshun Li , Liwei Tian , Rongrong Li","doi":"10.1016/j.seta.2025.104614","DOIUrl":"10.1016/j.seta.2025.104614","url":null,"abstract":"<div><div>Targeting the poor precision, limited real-time and high model complexity of defects and exotic objects detection in solar photovoltaic panels, a new intelligent detection algorithm, SPP YOLO, is proposed. Expanded solar photovoltaic panels data from StyleGAN2-ADA. Building upon the YOLOv11 architecture, the proposed SPP YOLO method integrates Dynamic Snake Convolution (DSC) operations within the backbone’s CBS modules, resulting in the formation of DBS modules that leverage adaptive convolutional processing. By enhancing the global feature focus, this integration preserves the key information related to different global morphologies and improves the precision of target detection in the model. In addition, the coordinate attention mechanism is integrated into the C3K2 module to enhance the spatial perception of the model and reduce feature duplication. The use of the lightweight upsampling operator CARAFE in the feature extraction network allows contextual information to be collected across a wide range of sensory domains, improving the feature extraction and fusion capabilities of the model. A learning rate optimisation strategy based on Sparrow search algorithm (SSA) is used during model training to further improve the detection accuracy of the model. The proposed SPP YOLO algorithm, which helps to achieve a better balance between efficiency and accuracy in solar panel inspection, shows significant overall effectiveness and provides theoretical support for industrial smart manufacturing.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104614"},"PeriodicalIF":7.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Truong Xuan Do, Phuc Quang Nguyen, Nga Huyen Dang, Minh Thao Nguyen
{"title":"Effect of additives on the reduction of gas and particulate emissions from rice straw pellet fuel: Experimental study and modeling","authors":"Truong Xuan Do, Phuc Quang Nguyen, Nga Huyen Dang, Minh Thao Nguyen","doi":"10.1016/j.seta.2025.104624","DOIUrl":"10.1016/j.seta.2025.104624","url":null,"abstract":"<div><div>Rice straw, an abundant agricultural residue, holds strong potential for biomass energy, but its open field burning causes severe air pollution. While pelletizing offers a cleaner alternative, it still presents emission and slagging challenges due to its composition and combustion characteristics. This study designed emission tests on rice straw pellets and developed regression models to optimize additive combinations for reducing CO, NO<sub>x</sub>, and fine particulate matter (PM<sub>10</sub>) emissions. The integrated use of three cost-effective additives (kaolin, CaO, and black liquor) with predictive modeling represents a novel, scalable, and economically viable approach for cleaner biomass fuel production. The regression models demonstrated strong predictive accuracy, evidenced by high correlation coefficient <em>(R<sup>2</sup>)</em> values (CO: 0.90, NO<sub>x</sub>: 0.95, PM<sub>10</sub>: 0.98) and low root mean square error (RMSE) and mean absolute error (MAE). The additive-blended samples reduced the CO emission by 54.2%, NO<sub>x</sub> by 31.0%, and PM<sub>10</sub> by 30%. The most effective additive combinations for simultaneously reducing CO, NO<sub>x</sub>, and PM<sub>10</sub> were 2% kaolin with either 0–2% CaO and 8% black liquor. Kaolin, CaO, and black liquor effectively reduce emissions from rice straw pellets, highlighting the need for further research on emission control, life cycle assessment, and large-scale feasibility.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"83 ","pages":"Article 104624"},"PeriodicalIF":7.0,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}